Data Scientistat IT-Startup In Chennai
- 3+ years experience in practical implementation and deployment of ML based systems preferred.
- BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
- Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
- Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
- Experience in working on modeling graph structures related to spatiotemporal systems
- Programming skills in Python
- Experience in developing and deploying on cloud (AWS or Google or Azure)
- Good verbal and written communication skills
- Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
We are looking for passionate NLP engineer to join our core product team. You will work closely with a set of talented engineers, product managers, designers and data scientists to bring innovative ideas to life.
Requirements:
1. Bachelors/Masters in Computer Science
2. Must have published at least one scientific paper in NLP in any recognized conference/journal.
- Preferred if the sub-domain of publication is in conversational interfaces such as dialogue or natural language generation.
3. Prior experience in research labs (academic or corporate)
4. 1+ years experience in software development
5. Experienced in machine learning tooling such as Python, PyTorch, Tensorflow/Keras, sci-kit learn etc
Job Description:
1. Must be up-to-date with state-of-the-art research in NLP/conversational interfaces/dialogue management/natural language generation.
2. Must be able to evaluate multiple research approaches to a particular problem, perform extensive literature survey and choose the right approach.
3. Must be able to implement state-of-the-art algorithms from papers published at leading conferences.
4. Must be able to develop PoCs using state-of-the-art research papers, including implementing algorithms, identifying relevant datasets, collating datasets if not readily available, identifying biases in datasets, training, validation and testing.
4. Must follow standard software engineering practices to develop PoCs.
As a data engineer, your primary focus will be designing data integration modules on big
data technologies, developing new features, functionality for our data pipelines,
implementing testing and managing data workloads within our standard continuous
development and continuous delivery processes in the cloud.
What You’ll Do
● Deliver plugins for our Python-based ETL pipelines.
● Deliver Python microservices for provisioning and managing cloud infrastructure.
● Implement algorithms to analyze large data sets.
● Draft design documents that translate requirements into code.
● Deal with challenges associated with handling large volumes of data.
● Assume responsibilities from technical design through technical client support.
● Manage expectations with internal stakeholders and context-switch in a fast-paced
environment. Thrive in an environment that uses AWS and Elasticsearch
extensively.
● Keep abreast of technology and contribute to the engineering strategy.
● Champion best development practices and provide mentorship.
What We’re Looking For
● Experience in
○ Python 3
○ Python libraries used for data (Pandas, Numpy)
○ AWS
○ Elasticsearch (preferred not mandatory)
○ Performance tuning
○ Object-Oriented Design and Modelling
○ Delivering complex software
○ CI/CD tools (Gitlab, Github, Jenkins, Circle..)
● Knowledge of design patterns.
● Sharp analytical and problem-solving skills.
● Strong sense of ownership.
● Demonstrable desire to learn and grow.
● Excellent written and oral communication skills.
● Mature collaboration and mentoring abilities.
Work Location: Chennai, India
Experience Level:4 to 12 Years
Package:Upto 20 LPA
Notice Period:Immediate to 20 days
Its a full time Opportunity with our client.
Job Description:
Data Engineering Role
· Oracle/Redshift/SQL/PLSQL (This is core to the role)
· Python (essential)
· Informatica Power center/Cloud
· Cloud development experience
· Tableau (would be a bonus but not a requirement).
· Basic development tools experience (listed or comparable industry standard S/W)
JIRA
Source Control (GIT)
CI/CD (Jenkins/UC etc.)
• Responsible for developing and maintaining applications with PySpark
Must-Have Skills:
ABOUT EPISOURCE:
Episource has devoted more than a decade in building solutions for risk adjustment to measure healthcare outcomes. As one of the leading companies in healthcare, we have helped numerous clients optimize their medical records, data, analytics to enable better documentation of care for patients with chronic diseases.
The backbone of our consistent success has been our obsession with data and technology. At Episource, all of our strategic initiatives start with the question - how can data be “deployed”? Our analytics platforms and datalakes ingest huge quantities of data daily, to help our clients deliver services. We have also built our own machine learning and NLP platform to infuse added productivity and efficiency into our workflow. Combined, these build a foundation of tools and practices used by quantitative staff across the company.
What’s our poison you ask? We work with most of the popular frameworks and technologies like Spark, Airflow, Ansible, Terraform, Docker, ELK. For machine learning and NLP, we are big fans of keras, spacy, scikit-learn, pandas and numpy. AWS and serverless platforms help us stitch these together to stay ahead of the curve.
ABOUT THE ROLE:
We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations, clinical named entity recognition, improving patient health, clinical suspecting and information extraction from clinical notes.
This is a role for highly technical data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.
You will be responsible for setting an agenda to develop and ship data-driven architectures that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company and help build a foundation of tools and practices used by quantitative staff across the company.
During the course of a typical day with our team, expect to work on one or more projects around the following;
1. Create and maintain optimal data pipeline architectures for ML
2. Develop a strong API ecosystem for ML pipelines
3. Building CI/CD pipelines for ML deployments using Github Actions, Travis, Terraform and Ansible
4. Responsible to design and develop distributed, high volume, high-velocity multi-threaded event processing systems
5. Knowledge of software engineering best practices across the development lifecycle, coding standards, code reviews, source management, build processes, testing, and operations
6. Deploying data pipelines in production using Infrastructure-as-a-Code platforms
7. Designing scalable implementations of the models developed by our Data Science teams
8. Big data and distributed ML with PySpark on AWS EMR, and more!
BASIC REQUIREMENTS
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Bachelor’s degree or greater in Computer Science, IT or related fields
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Minimum of 5 years of experience in cloud, DevOps, MLOps & data projects
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Strong experience with bash scripting, unix environments and building scalable/distributed systems
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Experience with automation/configuration management using Ansible, Terraform, or equivalent
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Very strong experience with AWS and Python
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Experience building CI/CD systems
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Experience with containerization technologies like Docker, Kubernetes, ECS, EKS or equivalent
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Ability to build and manage application and performance monitoring processes
- The Data Scientist is expected to have deep knowledge and skills in Machine Learning /
- Statistical Modelling / Data Science domain, and be responsible for the solution designing and project management for multiple projects
- Design the solution for advanced analytics (including ML Engineering) projects – what technique to use, what tool/technology to use, etc
- Scope out the solution in terms of time, effort, team skills needed independently
- Help the team in delivering projects including developing scalable ML models and algorithms and interpreting the output
- Discuss various opportunities with existing and potential clients at a technical level
- Help in the effort on developing new capabilities/offerings/solutions across the firm
- Development of technical procedures, scripts and associated documentation.
Experience
- Relevant experience of 2+ years in advanced machine learning, advanced analytical
- Modelling, time series models and credit risk modelling across the BFSI domain
- Expert-level working knowledge of Python and OOPs concepts
- Proficient in the analysis of both structured and unstructured data
- Experience of having executed solutions in the banking and finance domain
- At least 2+ years of Python programming experience including developing end to end projects
- Business domain and solutions knowledge of banking, finance, insurance, lending etc
- Excellent communication and persuasions skills
- Excellent team player
- Master’s Degree in Computer Science / Mathematical Computing / Statistics / Operations Research
Qualifications
- BE/ B. Tech/ MSc/MTech
- Candidate should possess the degree from a recognized University/ Institution only
We are looking for multiple Data Analyst Interns to be part of our Delivery Team. The candidate will work on data preparation, configuration and execution of Clootrack's deep learning platforms - Sun Tiger & Beagle. The candidate needs to take an active role in interacting with the core engineering team, and business teams to bench mark platform outputs to improve value to customers.
To apply, please fill out the details here- https://docs.google.com/forms/d/16yehtN7oJ4i4X8ytrArK5nMl5nuRG7P9k9RgpMT9aA0/edit
If the performance is satisfactory, the candidates will be offered a permanent role with the team within 6 months or earlier.
Responsibilities
- Configure and run our proprietary AI & Deep Learning platforms
- Understand business requirements and map to deliverables
- Collaborate with core engineering team and business teams
- Data preparation
- Data labelling
- Insight extraction & benchmarking
- Handle client communication to evaluate requirements, plan and act as client touch point for projects
Skills And Qualifications
- Yrs of experience: 0+ yrs
- Very good problem solving capabilities and aptitude
- Very good team player, with drive to work with complete ownership
- Fire to drive results
- Passion to understand data and derive insights
- Very good communication and presentation skills
- Good to have: Knowledge on SQL, Google Data Prep, Python Scripting
- Please do not apply if you are undergoing any under graduation, graduation or post graduation courses and are yet to complete
Duration of Internship:
The applicant should be available for a minimum of 6 months for internship. Placement offers will be provided based on performance.
To apply, please fill out the details here- https://docs.google.com/forms/d/16yehtN7oJ4i4X8ytrArK5nMl5nuRG7P9k9RgpMT9aA0/edit
Company Profile and Job Description
About us:
AthenasOwl (AO) is our “AI for Media” solution that helps content creators and broadcasters to create and curate smarter content. We launched the product in 2017 as an AI-powered suite meant for the media and entertainment industry. Clients use AthenaOwl's context adapted technology for redesigning content, taking better targeting decisions, automating hours of post-production work and monetizing massive content libraries.
For more details visit: www.athenasowl.tv
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Role: |
Senior Machine Learning Engineer |
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Experience Level: |
4 -6 Years of experience |
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Work location: |
Mumbai (Malad W) |
Responsibilities:
- Develop cutting edge machine learning solutions at scale to solve computer vision problems in the domain of media, entertainment and sports
- Collaborate with media houses and broadcasters across the globe to solve niche problems in the field of post-production, archiving and viewership
- Manage a team of highly motivated engineers to deliver high-impact solutions quickly and at scale
The ideal candidate should have:
- Strong programming skills in any one or more programming languages like Python and C/C++
- Sound fundamentals of data structures, algorithms and object-oriented programming
- Hands-on experience with any one popular deep learning framework like TensorFlow, PyTorch, etc.
- Experience in implementing Deep Learning Solutions (Computer Vision, NLP etc.)
- Ability to quickly learn and communicate the latest findings in AI research
- Creative thinking for leveraging machine learning to build end-to-end intelligent software systems
- A pleasantly forceful personality and charismatic communication style
- Someone who will raise the average effectiveness of the team and has demonstrated exceptional abilities in some area of their life. In short, we are looking for a “Difference Maker”
